Robust exemplar-based inpainting algorithm using region segmentation


This paper proposes a robust exemplar-primarily based image inpainting algorithm using region segmentation. Exemplar-based mostly inpainting methods iteratively search the source region and fill the missing or damaged region, i.e., target region, with the foremost similar patch in the supply region. The proposed method uses segmentation map to boost the performance of strong inpainting, in that a segmentation technique is used to utilize spatial data in the supply region. With the segmentation map, the proposed method automatically selects parameter values of the sturdy priority perform, adaptively determines patch size, and reduces search region. Experimental results with a range of test pictures show the effectiveness of the proposed methodology.

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